Latina Product Leader who is passionate about building experiences that fit within the lives of consumers.I lead a large, cross functional team of Product Managers and Process Managers that build and deliver inclusive consumer-facing experiences using human-centered design, Agile methodologies, and experimentation frameworks. Experience includes conversational AI product management, outbound messaging channel and delivery product management, messaging operations, social media strategy, digital content strategy, and digital product management.As a Latina in AI Product, I am passionate about increasing the number of women and BIPOC in Product through recruiting, mentorship, sponsorship, and speaking. I believe that in order to make true customer-centric products, your teams need to be as diverse as the customer population your build for.View the profile
Prior to that, she was a postdoctoral researcher in the Fairness Accountability Transparency and Ethics (FATE) group at Microsoft Research, New York. She earned her PhD from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li.View the profile
Over sixteen years of progressive international management experience that includes six years of managing global policy-related roles prior to ten years in a leadership position with technology strategy consultancy Booz Allen Hamilton. Over the past 3 years, I've been building an innovation office focused on tracking technology trends and emerging tech solutions for client's toughest mission challenges. I serve as a mentor to start-ups, have spoken and written articles on the core elements for building a viable innovation ecosystem, and developed the classroom of the future strategy for a local school. I serve on the board of the German School of San Francisco as well as other community organizations' advisory councils.International experience includes serving as Civil Affairs Officer and Acting Deputy Director for Strategic Planning and External Affairs for the U.S. State Department; heading program management of international projects to develop the institutional capacity of multiple developing countries; translating and representing an NGO at the United Nations in Geneva; and leading the technical partner integration among all member and partner countries of the North Atlantic Treaty Organization to design crisis response technology and chain of command structureView the profile
Huma Abidi is a Senior Director of AI Software Products & Engineering at Intel, responsible for strategy, roadmaps, requirements, validation and Benchmarking of Deep Learning, Machine Learning and Analytics Software Products. She leads a globally diverse team of engineers and technologists responsible for delivering world class products that enable customers to create AI solutions.Huma joined Intel as Software Engineer and has since worked in a variety of Engineering, Validation, and Management roles in the area of Compilers, Binary translation, and Artificial Intelligence (AI) and Deep Learning.She led the Deep Learning Software team that helped bring intel Xeon Artificial Intelligence (AI) experiences to market, by improving SW performance by 2 orders of magnitude resulting in AI revenue over $1 billion in 2017 alone and continuing to grow significantly.Twice she has received the Intel Achievement Award - *Intel's highest honor* and thrice awarded with the Intel Software Quality award, for delivering quality SW.She is passionate about women’s education, supporting several organizations around the world for this cause, she was recently nominated for VentureBeat 2020 and 2019 (finalist) Women in AI award in Mentorship Category.Huma holds a BS in pre-med and chemistry and an MS in computer science from the University of Massachusetts.View the profile
About the talk
How Women are advancing AI and leading the trend of AI fairness, ethics & human-centered AI
When it comes to applied AI, women leaders and practitioners are generally leading the thinking in areas of empathy, fairness, ethics, and human centricity. AI models and algorithms need to learn from both men and women to be truly balanced and fair and this can only happen with a higher percentage of women in the AI workforce. Join us for this 'Women in AI' breakfast that includes a panel discussion where leading stalwarts from the industry come together to discuss and debate Women's role in AI.
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